Estimating the Long-Term Epidemiological Trends and Seasonality of Hemorrhagic Fever with Renal Syndrome in China

OBJECTIVE: We aim to examine the adequacy of an innovation state-space modeling framework (called TBATS) in forecasting the long-term epidemic seasonality and trends of hemorrhagic fever with renal syndrome (HFRS). METHODS: The HFRS morbidity data from January 1995 to December 2020 were taken, and s...

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Detalles Bibliográficos
Autores principales: Xiao, Yuhan, Li, Yanyan, Li, Yuhong, Yu, Chongchong, Bai, Yichun, Wang, Lei, Wang, Yongbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8464322/
https://www.ncbi.nlm.nih.gov/pubmed/34584428
http://dx.doi.org/10.2147/IDR.S325787

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8464322/
https://www.ncbi.nlm.nih.gov/pubmed/34584428
http://dx.doi.org/10.2147/IDR.S325787

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